Implementation
Implement auraCare Around How Your Hospital Actually Works
Most failed hospital software projects did not fail at the software. They failed because the system was configured around an idea of the hospital rather than the hospital, and the gap only became visible once everybody depended on it.
The order below exists to make that gap visible early, while it is still cheap to be wrong.
Understand the workflow before designing the screen.
Discovery is not a form to fill in. It is walking the route a patient takes and writing down what actually happens, including the parts nobody would put in a specification.
Follow a patient
From the front door to the end of a visit, in each of the busiest departments. Where do they wait, who sends them onward, and what is carried by hand or by phone?
Map the service points
Every desk that registers, every room that consults, every counter that dispenses or collects money. These become the queues and service points in the configuration.
Find the handoffs
The transitions between departments are where work is lost. Each one that currently needs a phone call is a thing the software should carry instead.
Record the exceptions
The patient who does not answer, the one sent back for a second test, the VIP moved up the queue. Systems break on the exceptions, so they are gathered before configuration rather than after go-live.
Inventory what exists
The current system, what data lives in it, who holds the credentials, and what genuinely has to come across as opposed to what is simply there.
The order the work runs in.
Each stage exists to fail cheaply before the next one gets expensive.
What the hospital has to supply.
Implementations stall on availability far more often than on software. These are the things only the hospital can provide.
- People who know how the departments actually work — usually a senior receptionist and a nurse, not only the medical superintendent.
- A decision-maker who can settle disagreements between departments without escalating each one.
- Access to the current system and whoever understands its data, for migration and validation.
- The infrastructure decision: where the deployment runs, who holds the credentials, and who administers it.
- Time from the pilot department during the pilot, which is the stage most often under-resourced.
Questions about implementation.
How long does this take?
It depends almost entirely on how many departments go live and how much history has to migrate, and any vendor quoting a duration before discovery is guessing. What we can say is the shape: discovery is measured in days, configuration and migration in weeks, and the pilot should run long enough to include a genuinely busy day and a genuinely awkward one. We would rather extend the pilot than shorten it.
Can we run alongside our existing system?
For a period, yes, and for a first deployment we would encourage it. Parallel running costs staff effort — some things get entered twice — so it should be time-boxed and department-scoped rather than open-ended. The point is to have a fallback while the new configuration meets its first real exceptions, not to run two systems indefinitely.
What happens to our existing data?
It is inventoried during discovery, mapped, loaded and then validated against the source before anyone relies on it. In practice not everything should come across: historical records that are never consulted often belong in an archive rather than in the live system. That is a decision for the hospital, made explicitly, rather than a default we impose.
Start with discovery, not a demo.
The first conversation worth having is a walk through your own patient journey. It tells us more than a requirements document, and it tells you more than a product tour.
We will be direct about where auraCare fits and where it does not yet.
auraCare has not yet run a hospital in production. We would rather you knew that before the first meeting.